Geometric ML Toolkit
Tools and notebooks for geometric and topological machine learning in R and Python.
A toolkit of geometric and topological machine learning methods, implementing techniques from The Shape of Data and beyond.
Features
- TDA pipelines: Persistent homology, persistence landscapes, Betti curves
- Geometric features: Curvature, geodesic distances, manifold embeddings
- Graph learning: Graph neural networks, point-cloud representations
- Dual-language: Implementations in both R and Python
Applications
- Shape analysis and classification
- Protein structure analysis
- Social network topology
- Geospatial data analysis
Technologies
- R (TDA, GUDHI bindings), Python (Ripser, scikit-tda, PyTorch Geometric)